As part of the Pocket Primer series, this short book was designed for someone who needs to master Access programming fundamentals without spending too much time. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Access programming will also apply to Excel programming.

Updated for the latest Node Long Term Support (LTS) and Node Current (6.0) releases, this hands-on guide helps you master Node fundamentals and gain experience with several built-in and contributed modules. Get up to speed on Node’s event-driven, asynchronous I/O model for developing data-intensive applications that are frequently accessed but computationally simple.

This is the latest chunk in Donald Knuth's epic multivolume work on the analysis of algorithms. For it's history see Donald Knuth and the Art of Programming. To continue the 4th and later volumes of the set, and to update parts of the existing volumes, Knuth has created a series of small books called fascicles, which are published at regular intervals and cover distinct topics - in this case Satisfiability..

Mastering C++ gives you strong skills for programming at nearly every level, from “close to the hardware” to the highest-level abstractions. In short, C++ is a language that scientific and technical practitioners need to know. This book by Peter Gottschling’s is intended as "An Intensive Course for Scientists, Engineers, and Programmer" that introduces key concepts using examples from many technical problem domains.

For your next project on GitHub, take advantage of the service’s powerful API to meet your unique development requirements. This practical guide shows you how to build your own software tools for customizing the GitHub workflow. Each hands-on chapter walks you through the tradeoffs and considerations for building applications on top of various GitHub technologies.

Hands-on guide to over 100 specific techniques for getting the most out of Docker, a lightweight container system that is easier to deploy and more flexible than traditional VMs. Following a cookbook-style Problem/Solution/Discussion format, Ian Miell and Aidan Hobson Sayers offer instantly-useful solutions for important areas like effortless server maintenance and configuration, deploying microservices, creating safe environments for experimentation, and much more.

Written specifically for young people who want to learn how to code, but don't know where to begin. No experience? No problem! This book, which introduces Scratch, starts from the very beginning to take you from newbie to app-builder in no time. You'll 'learn by doing' as you build projects designed to help you master fundamental programming skill and you'll continue to use them as you graduate to other devices and more difficult projects.

Phoenix is the web framework based on Elixir, the highly concurrent language that combines a beautiful syntax with rich metaprogramming. will show you how to create code that's easier to write, test, understand, and maintain. The authors, Phoenix creator Chris McCord, Elixir creator Jose Valim, and award-winning author Bruce Tate walk you through building an application that's fast and reliable show you how to create code that's easier to write, test, understand, and maintain.

David Sklar, author of PHP Cookbookguides you through aspects of the language you need to build dynamic server-side websites. By exploring features of PHP 5.x and the exciting enhancements in the latest release, PHP 7, you’ll learn how to work with web servers, browsers, databases, and web services. End-of-chapter exercises help you make the lessons stick.

Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.